cpg
HACKTOBERFEST2021_PATTERN
cpg | HACKTOBERFEST2021_PATTERN | |
---|---|---|
1 | 1 | |
244 | 179 | |
4.9% | - | |
9.4 | 9.8 | |
4 days ago | over 2 years ago | |
Kotlin | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cpg
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Show HN: Scan your code to see where user data is going
Hey everyone! We’ve been working on a static code analysis tool to map out where user data is flowing at the code level and catch potential privacy violations; you can check it out here: https://github.com/monoid-privacy/monoid/tree/master/monoid-...
The goal here is to “shift privacy left” and make it easier to find potential privacy headaches, like user data leaking into logs, earlier in the software lifecycle. The tool slots easily into CI/CD for privacy checks on every commit, and can also be run ad-hoc via the CLI.
This was also a pretty exciting build from a technical perspective; OSS tooling around code graph generation and static analysis is pretty sparse (though https://github.com/Fraunhofer-AISEC/cpg offers a great foundation), so we built out a lot of code property graph generation + manipulation logic from the ground up.
Feedback would be much appreciated!
HACKTOBERFEST2021_PATTERN
What are some alternatives?
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